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Researchers in Morocco analyzed cybersecurity challenges in smart grids, highlighting AI-driven detection and defense strategies against threats like distributed denial-of-service, false data ...

Mikko Hyppönen is one of the most recognizable faces of the cybersecurity industry. After fighting computer viruses, worms, ...

Bacterial immune systems protect against viral invaders called phages by precisely targeting specific phage genetic sequences ...

A malware campaign uses WhatsApp messages to deliver VBS scripts that initiate a multi-stage infection chain. The attack ...

An international research team developed a multi-stage intrusion detection system that uses supervised and unsupervised AI techniques to detect and mitigate cyber threats in smart renewable energy ...

By now you know that artificial intelligence has reshaped cybersecurity. Not just detection or automation, but offense too. In the past year, we’ve seen a ...

Firewalls and antivirus software are insufficient as cybercrimes grow. Organizations need NDR solutions that detect and respond to attacks in real time using analytics and machine learning.

Some cybersecurity researchers say it’s too early to worry about AI-orchestrated cyberattacks. Others say it could already be happening. Anton Cherepanov is always on the lookout for something ...

Febraury 10, 2026—Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New machine-learning tools could help organisations flag more ...

This project is a comprehensive malware detection system developed as part of a semester project. It combines machine learning with web technologies to provide safe, static analysis of executable ...